Share and intensity of work current AI systems can materially affect.
SOC 27-4014
Sound Engineering Technicians AI displacement risk
AI mixing, mastering, and noise-cleanup tools now produce competent audio from raw recordings, compressing routine studio work. Live sound mixing, acoustic problem-solving, and producer collaboration on creative mixes keep engineers valuable.
Likely potential for exposed tasks to move to software after workflow integration.
Automated mastering serves the commodity tier; records that matter still get human mixes. Live sound — feedback control, room acoustics, real-time adjustment during a show — has no software substitute.
Distribution
Where Sound Engineering Technicians sits across 620 tracked roles
Displacement pressure 42 — higher than 70% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
14 O*NET task statements matched to SOC 27-4014. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $73,130 (May 2025, US national). The latest BLS row matched SOC 27-4014.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Sound Engineering Technicians
SOC 27-4014 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 42/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Sound Engineering Technicians
The current evidence import matched 14 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks14
SOC27-4014
- Core task / ID 7720
Confer with producers, performers, and others to determine and achieve the desired sound for a production, such as a musical recording or a film.
- Core task / ID 7722
Regulate volume level and sound quality during recording sessions, using control consoles.
- Core task / ID 7727
Record speech, music, and other sounds on recording media, using recording equipment.
- Core task / ID 7729
Separate instruments, vocals, and other sounds, and combine sounds during the mixing or postproduction stage.
- Core task / ID 18662
Set up, test, and adjust recording equipment for recording sessions and live performances.
- Core task / ID 7724
Report equipment problems and ensure that required repairs are made.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Mix and edit recorded audio
Exposure 66, automation 44%, augmentation 68%.
O*NET evidence: Mix and edit voices, music, and taped sound effects for live performances and for prere... (ID 7725)
Operate live sound equipment
Exposure 22, automation 9%, augmentation 36%.
O*NET evidence: Mix and edit voices, music, and taped sound effects for live performances and for prere... (ID 7725)
Set up and test audio systems
Exposure 26, automation 11%, augmentation 42%.
O*NET evidence: Set up, test, and adjust recording equipment for recording sessions and live performances. (ID 18662)
Confer with producers on sound requirements
Exposure 26, automation 8%, augmentation 46%.
O*NET evidence: Confer with producers, performers, and others to determine and achieve the desired soun... (ID 7720)
TaskExposureAutomationAugmentation
Mix and edit recorded audio6644%68%
Operate live sound equipment229%36%
Set up and test audio systems2611%42%
Confer with producers on sound requirements268%46%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
ModerateLive Sound Engineer
Training horizon: 2-5 months. Skill overlap 72. Wage preservation signal 104.
- Build concert mixing experience
- Master system tuning
- Manage venue audio operations
adjacent role
ModerateAudio Post-Production Supervisor
Training horizon: 3-6 months. Skill overlap 66. Wage preservation signal 112.
- Direct AI-assisted mix workflows
- Own delivery quality standards
- Manage post-production teams
Comparison guides
Compare the next move before you commit
2-5 months
Sound Engineering Technicians to Live Sound Engineer
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Sound Engineering Technicians into Live Sound Engineer.
3-6 months
Sound Engineering Technicians to Audio Post-Production Supervisor
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Sound Engineering Technicians into Audio Post-Production Supervisor.
What the AI risk score means for Sound Engineering Technicians
The displacement pressure score for Sound Engineering Technicians is 42. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Mix and edit recorded audio carries 44% automation pressure, while Mix and edit recorded audio carries 68% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $73,130 (May 2025, US national). Employment context: Audio production role with AI mixing tools emerging. Typical education: Postsecondary certificate or associate degree common.
Wage vulnerability is 56, while transition feasibility is 64. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Moderate displacement pressure
- AI mastering covers the commodity tier
- Live and creative mixing persist
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Sound Engineering Technicians, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Mixing craft
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Live sound
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Acoustic judgment
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
AI audio tools
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Live Sound Engineer, such as build concert mixing experience.
- By 90 days, compare internal openings and external postings for Live Sound Engineer or Audio Post-Production Supervisor and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Sound Engineering Technicians
Will AI replace Sound Engineering Technicians?
AI mixing, mastering, and noise-cleanup tools now produce competent audio from raw recordings, compressing routine studio work. Live sound mixing, acoustic problem-solving, and producer collaboration on creative mixes keep engineers valuable. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Sound Engineering Technicians work are most exposed to AI?
Mix and edit recorded audio and Set up and test audio systems show the strongest automation pressure in this model. Mix and edit recorded audio and Confer with producers on sound requirements are better treated as AI-augmented work.
What should Sound Engineering Technicians learn next?
Start with Mixing craft, Live sound, Acoustic judgment. The most practical adjacent paths in this model are Live Sound Engineer and Audio Post-Production Supervisor.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics